Oracle Database SQL Certified Associate
1 Introduction to SQL
1-1 Overview of SQL
1-2 History of SQL
1-3 SQL Standards
2 SQL Data Types
2-1 Numeric Data Types
2-2 Character Data Types
2-3 Date and Time Data Types
2-4 Large Object (LOB) Data Types
2-5 Miscellaneous Data Types
3 Creating and Managing Tables
3-1 Creating Tables
3-2 Modifying Tables
3-3 Dropping Tables
3-4 Table Constraints
3-5 Temporary Tables
4 Data Manipulation Language (DML)
4-1 Inserting Data
4-2 Updating Data
4-3 Deleting Data
4-4 Selecting Data
4-5 Using Subqueries
5 Data Control Language (DCL)
5-1 Granting Privileges
5-2 Revoking Privileges
6 Data Definition Language (DDL)
6-1 Creating Tables
6-2 Altering Tables
6-3 Dropping Tables
6-4 Creating Indexes
6-5 Dropping Indexes
6-6 Creating Views
6-7 Dropping Views
7 SQL Functions
7-1 Single-Row Functions
7-2 Aggregate Functions
7-3 Group Functions
7-4 Analytical Functions
8 Joins and Subqueries
8-1 Inner Joins
8-2 Outer Joins
8-3 Self-Joins
8-4 Cross Joins
8-5 Subqueries
9 Set Operators
9-1 UNION
9-2 UNION ALL
9-3 INTERSECT
9-4 MINUS
10 Grouping and Aggregation
10-1 GROUP BY Clause
10-2 HAVING Clause
10-3 ROLLUP and CUBE
10-4 GROUPING SETS
11 Transactions and Concurrency
11-1 Transaction Control Statements
11-2 Locking and Concurrency
11-3 Isolation Levels
12 Oracle SQL Developer
12-1 Overview of Oracle SQL Developer
12-2 Using SQL Worksheet
12-3 Managing Connections
12-4 Running Scripts
13 Advanced SQL Topics
13-1 Recursive Queries
13-2 Model Clause
13-3 PIVOT and UNPIVOT
13-4 Flashback Query
14 Performance Tuning
14-1 Query Optimization
14-2 Indexing Strategies
14-3 Analyzing Query Performance
15 Security and Auditing
15-1 User Management
15-2 Role Management
15-3 Auditing SQL Statements
16 Backup and Recovery
16-1 Backup Strategies
16-2 Recovery Strategies
16-3 Using RMAN
17 Oracle Database Architecture
17-1 Overview of Oracle Database Architecture
17-2 Memory Structures
17-3 Process Structures
17-4 Storage Structures
18 PLSQL Basics
18-1 Introduction to PLSQL
18-2 PLSQL Block Structure
18-3 Variables and Data Types
18-4 Control Structures
18-5 Exception Handling
19 Oracle SQL Certification Exam Preparation
19-1 Exam Objectives
19-2 Sample Questions
19-3 Practice Tests
19-4 Exam Tips
Running Scripts in Oracle SQL

Running Scripts in Oracle SQL

Key Concepts

Running scripts in Oracle SQL involves executing a series of SQL statements stored in a file. This process is essential for automating tasks, managing database objects, and ensuring consistent execution of complex operations. Understanding the following key concepts is crucial for effectively running scripts:

1. Script Files

A script file is a text file containing a series of SQL statements and commands. These files are typically saved with a .sql extension and can be executed in an Oracle SQL environment.

Example:

A script file named create_tables.sql might contain statements to create multiple tables:

CREATE TABLE Employees ( EmployeeID NUMBER PRIMARY KEY, FirstName VARCHAR2(50), LastName VARCHAR2(50) ); CREATE TABLE Departments ( DepartmentID NUMBER PRIMARY KEY, DepartmentName VARCHAR2(50) );

2. SQL*Plus

SQL*Plus is an interactive and batch query tool that comes with Oracle Database. It allows users to connect to an Oracle database, execute SQL statements, and run scripts.

Example:

To run a script file using SQL*Plus, you would use the following command:

sqlplus username/password@database @path/to/script.sql

3. Command-Line Execution

Scripts can be executed directly from the command line, allowing for automation and integration with other tools and processes.

Example:

Running a script from the command line:

sqlplus -s username/password@database @path/to/script.sql

4. Variable Substitution

SQL*Plus allows for variable substitution within scripts. This feature enables dynamic values to be passed into the script at runtime.

Example:

A script that uses variable substitution:

DEFINE emp_id = 123; SELECT * FROM Employees WHERE EmployeeID = &emp_id;

5. Error Handling

Effective error handling in scripts ensures that any issues are identified and managed appropriately. SQL*Plus provides commands like WHENEVER SQLERROR to handle errors.

Example:

Handling errors in a script:

WHENEVER SQLERROR EXIT SQL.SQLCODE; CREATE TABLE Employees ( EmployeeID NUMBER PRIMARY KEY, FirstName VARCHAR2(50), LastName VARCHAR2(50) );

6. Batch Processing

Batch processing involves running a series of scripts in sequence, often as part of a larger automated process. This is useful for database maintenance, data loading, and other routine tasks.

Example:

A batch file that runs multiple scripts:

sqlplus username/password@database @path/to/script1.sql sqlplus username/password@database @path/to/script2.sql

7. Script Debugging

Debugging scripts involves identifying and fixing errors in the script. SQL*Plus provides tools and commands to help with this process, such as SHOW ERRORS.

Example:

Debugging a script:

CREATE OR REPLACE PROCEDURE my_procedure AS BEGIN NULL; END; / SHOW ERRORS PROCEDURE my_procedure;

8. Script Documentation

Documenting scripts is crucial for maintaining clarity and understanding. Comments within the script file help explain the purpose and functionality of each section.

Example:

Documenting a script:

-- This script creates the Employees table CREATE TABLE Employees ( EmployeeID NUMBER PRIMARY KEY, FirstName VARCHAR2(50), LastName VARCHAR2(50) );

9. Script Versioning

Versioning scripts helps track changes over time and ensures that the correct version is being used. This is particularly important in collaborative environments.

Example:

Versioning a script:

-- Version 1.0 CREATE TABLE Employees ( EmployeeID NUMBER PRIMARY KEY, FirstName VARCHAR2(50), LastName VARCHAR2(50) );

10. Script Optimization

Optimizing scripts involves improving their performance and efficiency. This can be achieved through better SQL coding practices and understanding database performance tuning.

Example:

Optimizing a script:

-- Optimized query SELECT /*+ INDEX(Employees emp_idx) */ * FROM Employees WHERE EmployeeID = 123;

11. Script Security

Ensuring script security involves protecting sensitive data and preventing unauthorized access. This can be achieved through proper access controls and encryption.

Example:

Secure script execution:

-- Encrypted script file sqlplus username/password@database @path/to/encrypted_script.sql

12. Script Automation

Automating script execution reduces manual intervention and ensures consistent and timely execution. This can be achieved through scheduling tools and integration with other systems.

Example:

Automating script execution:

-- Scheduled script execution using cron job 0-2 * * * /path/to/run_scripts.sh